Reading
guIDE is a code editor built from scratch for the AI era, featuring a built-in local LLM inference engine, 52 proprietary MCP tools, browser automation, and RAG code intelligence. It supports 9 cloud AI providers, enabling a true AI-native development experience.
Section 01
guIDE is a code editor built from scratch for the AI era, integrating local LLM inference engine, 52+ MCP tools, browser automation, and RAG code intelligence. It supports 9 cloud AI providers, aiming to deliver a true AI-native development experience while addressing limitations of traditional editors like VS Code with AI plugins (e.g., privacy concerns, no local model support, limited context).
Section 02
VS Code, though popular, was born before the AI era. AI assistants like GitHub Copilot are plugins, leading to issues:
Section 03
guIDE's design follows three principles: Local-first, AI-native, Full Control. Comparison with VS Code + Plugins:
| Feature | VS Code + Plugins | guIDE |
|---|---|---|
| AI Integration | Plugin extension | Built into core architecture |
| Local LLM Support | No native | node-llama-cpp + CUDA/Vulkan acceleration |
| Data Privacy | Code sent to cloud | Fully local, no telemetry |
| Tool Calls | Independent cloud API calls | 52 MCP tools for AI autonomous use |
| Browser Automation | Requires extra tools | Built-in BrowserView (15 tools) |
| Cost | Monthly $10-20 | Free local models, pay-as-you-go for cloud |
| Context Scope | Open files only | RAG-indexed entire codebase + persistent memory |
Section 04
MCP (Model Context Protocol) enables AI-environment interaction with 52 tools:
Section 05
Uses Monaco Editor (same as VS Code):
Priority-based prompt assembly: Memory → Tools → Errors → RAG → Code → Web Search
Section 06
Supports 9 cloud AI providers (OpenAI, Anthropic, Google, etc.) with:
Section 07
guIDE redefines AI code editors by building from scratch for the AI era, not as a plugin. Its core values:
As local LLMs and hardware improve, guIDE-like local-first tools will likely gain more traction.
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